text stringlengths 8 6.05M |
|---|
import numpy as np
import re
from math import log2
q = [np.array([[1, 0]]), np.array([[0, 1]])]
def parse_string(value):
if (value[0] == '~'):
value = value[1:]
return (int(value), None)
if (re.search(r'[2-9]', value) is None):
return (int(value, base=2), len(value))
return (int(va... |
def sum_series1(i):
if i == 1:
return 1
else:
return 1/i + sum_series1(i-1)
print(sum_series1(5))
|
from setuptools import find_packages, setup
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name="webapp",
version="0.0.1",
author="Ben",
description="Raspberry-Pi webapp project",
long_description=long_description,
long_description_content_type="text/markdown",
... |
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from sklearn.linear_model import LinearRegression
import statsmodels as ssm
df = pd.read_csv("data\world-happiness-report-2021.csv")
y_feature = ["Ladder score"] * 6
features = ["Logged GDP per capita", "Social support", "Healthy life expectancy",... |
def f(x):
import math
return 10*math.e**(math.log(0.5)/5.27 * x)
def radiationExposure(start, stop, step):
'''
Computes and returns the amount of radiation exposed
to between the start and stop times. Calls the
function f (defined for you in the grading script)
to obtain the value... |
from mlpnn.Import.Data import Data
class Samples(object):
def __init__(self, file, ratio=1.0, shuffle_data=False):
self.ratio = ratio
self.data = Data(file, shuffle_data)
def input_neurons(self):
return self.data.samples_count() - 1
def output_neurons(self):
return self.d... |
N, M = map( int, input().split())
ans = "-1 -1 -1"
for i in range(M//3+1):
if (M-i*3)%2 == 0 and M >= i*3:
y = (M-i*3)//2 - (N-i)
x = (N-i) - y
if x >= 0 and y >= 0:
ans = str(x) + " " + str(i) + " " + str(y)
break
print( ans)
|
# -*- coding: utf-8 -*-
from matplotlib.pylab import *
from collections import defaultdict
data = defaultdict(lambda:[])
for line in open("data.txt").readlines():
if not line.strip(): continue
(label, n, time) = line.strip().split(",")
data[label].append((n, time))
n = 0
clf()
type = ["o-", "*--", "s-", "x-... |
#!/usr/bin/env python
#-*-coding:utf-8-*-
'''
Pentagonal numbers are generated by the formula, Pn=n(3n−1)/2.
The first ten pentagonal numbers are:
1, 5, 12, 22, 35, 51, 70, 92, 117, 145, ...
It can be seen that P4 + P7 = 22 + 70 = 92 = P8.
However, their difference, 70 − 22 = 48, is not pentagonal.
Find the pair of... |
#########################################
##
## JetRecConfig
##
## This file is a prototype module for a jet configuration system compatible
## with RootCore.
## The system is based on a hierarchy of keywords which describe top-level full configuration
## down to individual tool configuration
## An example of keyword h... |
import json
class QuestionController():
def getallquestions(self):
allquestions = (
{
'question': "What is your name?",
"answer": "Priscilla Kyei Danso",
},
{
'question': "How old are you?",
"answer": "Why... |
r"""*CLI module for* ``sphobjinv``.
``sphobjinv`` is a toolkit for manipulation and inspection of
Sphinx |objects.inv| files.
.. note::
This module is NOT part of the public API for ``sphobjinv``.
Its entire contents should be considered implementation detail.
**Author**
Brian Skinn (bskinn@alum.mit.edu... |
"""
xlwings - Make Excel fly with Python!
Homepage and documentation: http://xlwings.org
See also: http://zoomeranalytics.com
Copyright (C) 2014-2015, Zoomer Analytics LLC.
All rights reserved.
License: BSD 3-clause (see LICENSE.txt for details)
"""
import os
import sys
import re
import numbers
import itertools
impo... |
"""Kiran the Discow Bot."""
import asyncio
import os
import re
import subprocess
import tempfile
import traceback
import discord
from discord.ext import commands
# import sympy
# from sympy.parsing import sympy_parser
from dotenv import load_dotenv
from gtts import gTTS
import c4board
load_dotenv()
with open("bad_... |
from .visulization import Visulizer
|
import json
#test variables to store
varInt = 16
varReal = 5.0
varString = "Test"
varBool = True
varList = [1,2,3,4,5]
varList2 = [[1,2,3,4,5],[6,7,8,9,0]]
varTuple = (1,2,3)
varDic = {1:'s',3:'4',2:'a'}
varDic2 = {1:5,3:6,2:7}
'''
# https://docs.python.org/3/library/pickle.html#comparison-with-json
12.1.1.2. Compari... |
import reptile.data
from orun.data.datasource import DataSource, Param
class ReportConnection:
"""
Default report db connection
"""
def datasource_factory(self, **kwargs):
"""
Create a datasource instance compatible with reptile engine
:param kwargs:
:return:
"... |
from django.shortcuts import get_object_or_404, render
from django.urls import reverse_lazy, reverse
from django.views.generic import CreateView, UpdateView, DeleteView, TemplateView, View
from django.http import HttpResponse
import json
from planner.models import Garden, Bed
class GardenView(TemplateView):
temp... |
from twisted.trial.unittest import TestCase
from .. import c_zlib
class CZlibTest(TestCase):
def testRoundTrip(self):
dictionary = 'foobar'
compressed = c_zlib.compress('foobar', level=9, dictionary=dictionary)
decompressed = c_zlib.decompress(compressed, dictionary=dictionary)
sel... |
from utils import (
get_guard_periods,
lines_to_records,
read_input
)
def get_sleepiest_guard(guard_periods):
return sorted(
[guard_id for guard_id in guard_periods.keys()],
key=lambda guard_id: sum(guard_periods[guard_id])
)[-1]
if __name__ == '__main__':
records = lines_to_r... |
import requests
import json
class GetAddress:
def __init__(self, postcode: str):
postcode = postcode.replace(" ","")
info = requests.get("https://api.postcodes.io/postcodes/" + postcode)
json_variable = info.json()
result = json_variable["result"]
self.country = result["co... |
"""Cluster Mass Module
abstract class to compute cluster mass function.
========================================
The implemented functions use PyCCL library as backend.
"""
from __future__ import annotations
from typing import final, List, Tuple, Optional
from abc import abstractmethod
import numpy as np
import sacc
... |
# -*- coding: utf-8 -*-
import codecs
import os
def word_split(words):
new_list = []
for word in words:
if '-' not in word:
new_list.append(word)
else:
lst= word.split('-')
new_list.extend(lst)
return new_list
def read_file(file_path):
f = codecs.open(file_path,'r',"utf-8")
lines = f.readlines()
... |
import sys
import os
from Crypto.Hash import SHA256
from Crypto.Signature import pss
from Crypto.PublicKey import RSA
from Crypto.Random import get_random_bytes
from Crypto.Cipher import AES
from Crypto.Cipher import PKCS1_OAEP
from Crypto.Util.Padding import pad
from typing import Tuple
def sign_buffer(da... |
import re
print("===================================================================")
print("================== SELECCIONE UNA OPCION ==========================")
print("===================================================================")
print("1: X = 2 + 5 * y")
print("2: X = a / a + b * b")
print("3: X =... |
from django.test import TestCase
from backend.user_service.user.infra.adapter.user_create_command_handler \
import UserCreateCommandHandler
from backend.common.command.user_create_command \
import UserCreateCommand
class UserCreateCommandHandlerTestCase(TestCase):
def test_when_message_has_no_email_or_p... |
###################################################################
# File Name: train.py
# Author: Zhongdao Wang
# mail: wcd17@mails.tsinghua.edu.cn
# Created Time: Thu 06 Sep 2018 10:08:49 PM CST
###################################################################
from __future__ import print_function
from __future__... |
# Generated by Django 3.2 on 2021-05-19 15:25
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
('user', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='User',
fields=[
... |
from django.db import models
from django.utils.translation import ugettext_lazy as _
from apps.user.models import CustomUser
class Experience(models.Model):
"""
Address Model which holds all the address data for a user
"""
class Meta:
db_table = 'experience'
verbose_name = _('experie... |
from about_action import AboutAction
from edit_preferences_action import EditPreferencesAction
from exit_action import ExitAction
|
###################################################################################
# Title : KSE526 project baseline
# Author : hs_min
# Date : 2020.11.25
###################################################################################
#%%
import tensorflow as tf
from tensorflow.keras import Model
from t... |
#!/bin/python
import sys
import re
infile = open(sys.argv[1], "r")
program = []
lineNo = 1
for line in infile:
line = line.rstrip()
lineRE = re.match(r"(acc|jmp|nop) (\+|-)(\d+)", line)
if not lineRE:
print "SHIT"
argument = int(lineRE.group(3))
if lineRE.group(2) == '-':
argu... |
#encoding:utf-8
import matplotlib.pyplot as plt
input_values=[1,2,3,4,5]
squares = [1, 4, 9, 16, 25]
plt.plot(input_values, squares, linewidth = 5)
#设置图标标题，并给坐标轴加上标签
plt.title("Square Numbers", fontsize=24)
plt.xlabel("Value", fontsize=14)
plt.ylabel("Square of Value", fontsize=14)
#设置刻度标记的大小
plt.tick_params(axis='b... |
# -*- coding: utf-8 -*-
import logging
from datetime import datetime
from dateutil.relativedelta import relativedelta
from operator import itemgetter
import time
from openerp import SUPERUSER_ID
from openerp import pooler, tools
from openerp.osv import fields, osv
from openerp.tools.translate import _
from openerp.to... |
# def dollarize(fcount):
# fcount = round(fcount, 2)
# sfcount = format(fcount, ',')
# if fcount < 0:
# sfcount = sfcount.split('-')[1]
# return '-' + '$' + sfcount
# else:
# return '$' + sfcount
class MoneyFmt(object):
def __init__(self, fcount):
self.fcount = flo... |
string = input()
string2 = ''
for i in string:
if ((i >= 'a' and i <= 'z') or (i >= 'A' and i <= 'Z')):
if (i not in string2):
string2 += i
print(len(string2))
|
#import sys
#input = sys.stdin.readline
def main():
N = int( input())
ans = 0
for i in range(1,N):
ans += (N-1)//i
print(ans)D.
if __name__ == '__main__':
main()
|
from auxilaryFunctions import np
from auxilaryFunctions import calIntegralImage
from auxilaryFunctions import Grey_img,integralImage,Image,np,io,get_integral_image
from classifiers import getLayers
import time,math
from stages import *
def computerFeatureFunc(box,featureChosen,integralImg):
#scaling features
b... |
# modified config_10gbe_core function from katcp_wrapper.py from the corr library to include a subnet hack
def config_10gbe_core(self,device_name,mac,ip,port,arp_table,gateway=1):
"""Hard-codes a 10GbE core with the provided params. It does a blindwrite, so there is no verifcation that configuration was su... |
NUM_OF_ROWS = 6
NUM_OF_COLS = 7
DEPTH = 4
BLUE = (61, 164, 171)
YELLOW = (246, 205, 97)
RED = (254, 138, 113)
BLACK = (74, 78, 77)
SQUARE = 100
CIRCLE = 45
|
from sklearn.cluster import KMeans
import numpy as np
import matplotlib.pyplot as plt
def cluster_images(container):
positive = np.asarray([element[1] for element in container])
negative = np.asarray([element[2] for element in container])
ratings = np.asarray([element[3] for element in container])
... |
# from collector.Collector import Collector
# c = Collector()
# data = c.collect()
# print("\n\n\nFound data...\n\n\n")
# for i in data:
# print(i.content.text)
# print(i.label)
# print()
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_... |
from sklearn.datasets import load_breast_cancer
from sklearn.cluster import KMeans
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
from sklearn.preprocessing import scale
import pandas as pd
bc = load_breast_cancer()
print(bc)
x = scale(bc.data)
print(x)
y = b... |
from django.contrib import admin
from django.urls import path,include
from home import views
urlpatterns = [
path('',views.index,name="home"),
path("notes/",views.about, name="notes"),
path('delete/<int:id>',views.delete,name= "delete"),
path('update/<int:id>',views.update,name = "update"),
path('e... |
# !/uer/bin/env python3
# coding=utf-8
import smtplib
import logging
import configparser
from email.mime.text import MIMEText
from email.utils import formataddr
LOGGER = logging.getLogger(__name__)
conf = configparser.ConfigParser()
conf.read("conf.ini")
def send_email(msg):
mail_host = conf.get("EMAIL", "mail_... |
from datetime import datetime
import pytz as pytz
from marshmallow_dataclass import dataclass
from src.core.datastructures.base import BaseDataStruct
@dataclass
class CoinPrice(BaseDataStruct):
time: datetime = pytz.utc.localize(datetime.utcnow())
currency: str = ""
quote: float = 0
|
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render
# Create your views here.
from django.http import HttpResponse,JsonResponse
import os
from django.conf import settings
from models import *
from django.core.paginator import *
import json
from django.views.decorators.c... |
from flask import Flask, render_template, url_for, request
from util import json_response
import util
import data_handler
app = Flask(__name__)
# Joel: joel123
# Adam: adam123
# Alex: alex123
# Gergő: gergo123
@app.route("/")
def index():
return render_template('index.html')
@app.route("/get-boards")
@json_... |
from harkpython import harkbasenode
class HarkDebug(harkbasenode.HarkBaseNode):
def __init__(self):
print("-!!!!HarkDebug!!!!-" * 3)
self.outputNames = ("OUTPUT",)
self.outputTypes = ("prim_float",)
self.c = 0
def calculate(self):
self.outputValues["OUTPUT"] = 1
... |
#__author: "Jing Xu"
#date: 2018/1/23
import json
dict1 = {'name':'alex','age':'18'}
data = json.dumps( dict1 )
with open('JSON_text','w') as f:
f.write(data)
with open('JSON_text','r') as f1:
data1 = json.loads( f1.read() )
print(data1['name'])
def foo():
print("ok")
# data2 = json.dumps( foo ) # Object of... |
import os
import pandas as pd
class BlockData():
def __init__(self, download_folder, file_name, db):
self.file = os.path.join(download_folder, file_name)
self.db = db
pass
def parse_data(self):
data = pd.read_csv(self.file)
if not data["Date"][0] == "NO RECORDS":
save_data = data.to_dic... |
class Hero:
def __init__(self, name, title, health, mana, mana_regen, weapon = None, spell = None):
self.name = name
self.title = title
self.health = health
self.mana_regen = mana_regen
self.max_health = health
self.max_mana = mana
def known_as(self):
re... |
from math import factorial
arr = []
n = int(input().strip())
for i in range(n):
arr.append(int(input().strip()))
ans = 1 + n + (factorial(n) // (factorial(2)*factorial(n-2)))
for base_i in range(n):
for delta_i in range(base_i+1, n):
D = arr[delta_i] - arr[base_i]
search_val = arr[delta_i] + ... |
# -*- coding: utf-8 -*-
import hashlib
import os
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
import pymysql.cursors
import redis
import requests
from pymongo import MongoClient
from .items imp... |
import maya.cmds as cmds
#create joints (body chain)
cmds.joint(p=(-0.063,102.695,0),n=('root_jnt'))
cmds.joint(p=(-0.188,111.843,0),n=('stomach_jnt'))
cmds.joint(p=(0.188,129.763,0),n=('chest_jnt'))
cmds.joint(p=(-0.063,143.799,0),n=('neck_jnt'))
cmds.joint(p=(0.188,161.969,0),n=('head_jnt'))
#deselect
c... |
import boto3
import time
# Change these values, make them constant variables?
# EvaluationId
# MLModelId
# EvaluationDataSourceId
# s3 = boto3.resource('s3')
# s3.create_bucket(Bucket='dee-bucket-test', CreateBucketConfiguration={'LocationConstraint': 'us-west-1'})
# # bucket name has to be unique and all lowercase.
... |
from _typeshed import SupportsItemAccess
from datetime import datetime, timedelta
from typing import Any
from wtforms.csrf.core import CSRF, CSRFTokenField
from wtforms.form import BaseForm
from wtforms.meta import DefaultMeta
class SessionCSRF(CSRF):
TIME_FORMAT: str
form_meta: DefaultMeta
def setup_form... |
import sys
import json
import boto3
from random import randint
from pprint import pprint
import requests
import discord
from discord.ext import commands
from discord_commands import get_message, get_thumbnail_url, get_attachment_link
from anagrams import recursiveAnagrams
# OLD
# @client.event
# async... |
import time
from threading import Thread
def myfun():
time.sleep(1)
a = 1 + 1
print(a)
t1 = time.time()
for i in range(5):
myfun()
t2 = time.time()
print(t2-t1)
ths = []
for _ in range(5):
th = Thread(target=myfun)
th.start()
ths.append(th)
for th in ths:
th.join()
t3 = time.time()
print(t3-t2) |
# Generated by Django 3.2 on 2021-04-14 11:02
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('app', '0003_alter_role_options'),
]
operations = [
migrations.AlterModelOptions(
name='profile',
options={'ordering': ['user']... |
from selenium import webdriver
import unittest
class GetCurrentPageUrlByChrome(unittest.TestCase):
def setUp(self):
self.driver = webdriver.Chrome()
def test_getCurrenPageUrl(self):
url = "https://www.baidu.com/"
self.driver.get(url)
self.driver.maximize_window()
#获取当前... |
from freqtrade.strategy.interface import IStrategy
from pandas import DataFrame
#from technical.indicators import accumulation_distribution
from technical.util import resample_to_interval, resampled_merge
import talib.abstract as ta
import freqtrade.vendor.qtpylib.indicators as qtpylib
import numpy
from technical.indic... |
import pytest
from freezegun import freeze_time
from onegov.election_day.layouts import ElectionLayout
from tests.onegov.election_day.common import login
from tests.onegov.election_day.common import MAJORZ_HEADER
from tests.onegov.election_day.common import upload_majorz_election
from tests.onegov.election_day.common ... |
import torch
from torchvision import datasets, transforms
def read_data(data_path="", batch_size=1):
train_loader = torch.utils.data.DataLoader(
datasets.MNIST(data_path, train=True, download=True,
transform=transforms.Compose([
transforms.ToTensor... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('pmtool', '0016_auto_20150212_1046'),
]
operations = [
migrations.RemoveField(
model_name='activity',
... |
# login/views.py
from django.http import HttpResponseRedirect
from django.shortcuts import render, redirect
from mainWindow.models import House
from . import models
from .forms import UserForm
from .forms import RegisterForm
from .forms import ChangeForm
from .models import User
# 作者：王皓平 创建时间：2019.8.27 最后更新时间：2019.9.... |
import json
import requests
def get_weather_data():
url="https://samples.openweathermap.org/data/2.5/weather?q=London,uk&appid=b6907d289e10d714a6e88b30761fae22"
response = requests.get(url)
json_data = response.json()
return json_data
if __name__ == '__main__':
weather_data = get_weather_data()
... |
import os, re
def main():
os.chdir(os.path.dirname(os.path.abspath(__file__)))
input = open("day20_input.txt").read().splitlines()
print(solve(input))
class Particle:
def __init__(self, position, velocity, acceleration):
self.position = position
self.velocity = velocity
sel... |
from django.apps import AppConfig
class SocialsAppConfig(AppConfig):
name = "socials"
def ready(self):
from socials.signals.post_save import post_save_keyword
|
import requests
import random
import time
import json
import pandas as pd
download_path = 'http://static.cninfo.com.cn/'
saving_path = 'D:/中信证券暑期/2020年报'
User_Agent = [
"Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:88.0) Gecko/20100101 Firefox/88.0",
"Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6... |
from django import template
register = template.Library()
@register.filter
def get_key_value(some_dict, key):
"""
Provides a filter to be used in Django Jinja2 templates.
Filter allows lookup of values within a dictionary {} via a key.
:param some_dict: Dictionary object
:param key: key value to ... |
from adapters.adapter_with_battery import AdapterWithBattery
from devices.sensor.temperature import TemperatureSensor
class TemperatureSensorAdapter(AdapterWithBattery):
def __init__(self, devices):
super().__init__(devices)
self.devices.append(TemperatureSensor(devices, 'temp', 'temperature', 'te... |
from django.shortcuts import render,HttpResponseRedirect
from faculty.models import Leave
from django.http import JsonResponse
from django.contrib.auth.decorators import login_required
from faculty.models import LoadShift,Leave, OD
from django.core.mail import EmailMultiAlternatives
from django.template.loader import r... |
# Standard imports
import ROOT
import pickle
import array
# TopEFT
from TopEFT.Tools.WeightInfo import WeightInfo
# RootTools
from RootTools.core.standard import *
# rw_cpQM -10 ... 30
# rw_cpt -20 ... 20
sample = Sample.fromFiles("ttZ_current_scan", ["/afs/hephy.at/data/rschoefbeck02/TopEFT/skims/gen/v2/fwlite_ttZ_l... |
from sqlalchemy import Column, Integer, String, DateTime, Sequence
from sqlalchemy.ext.declarative import declarative_base
__author__ = 'cloudbeer'
Base = declarative_base()
class User(Base):
__tablename__ = 'user'
id = Column(Integer, Sequence('user_id_seq'), primary_key=True)
email = Column(String, nu... |
import unittest
from Bio.Seq import Seq
from Bio.Alphabet import generic_dna
from codon_tools.lookup_tables import opt_codons_E_coli, reverse_genetic_code
class TestLookupTables(unittest.TestCase):
def test_reverse_genetic_code(self):
tested_codons = {}
for aa, codons in reverse_genetic_code.items... |
print('Welcome to the tip Calculator!')
total_bill = float(input('What was the total bill? $'))
tip_percentage = int(input('What persentage of tip you would like to give? 10, 12, or 15? '))
people_number = int(input('How many people to splitt the bill? '))
personal_bill = (total_bill + (total_bill * (tip_percentage/1... |
from django.db import models
from django.utils import timezone
from django.contrib.auth.models import AbstractBaseUser, BaseUserManager
from PIL import Image
# Create your models here.
class AccountManager(BaseUserManager):
def create_user(self, email, username, password=None, is_manager=False):
if not email:
r... |
from .processor import Processor, FilteredProcessor
from .color_mean import ColorMeanProcessor
from .chrom import ChromProcessor
|
#!/usr/bin/env python
# Software License Agreement (BSD License)
#
# Copyright (c) 2019 Gert Kanter.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# * Redistributions of source code must r... |
import discord
from discord.ext import commands
import urllib.request
import os
bot = commands.Bot(command_prefix =".", description = "yolooooooooooooooooooooooooooooo")
@bot.event
async def on_ready():
print("prêt!")
@bot.command()
async def coucou(ctx):
await ctx.send("yo c est le test")
@bot.comman... |
import os
import copy
import sys
import run
import evaluator
from config import KNOWLEDGE_NET_DIR
which = sys.argv[1] if len(sys.argv) > 1 else "dev"
if which == "dev":
filename = "train.json"
fold = 4
elif which == "test":
filename = "test-no-facts.json"
fold = 5
else:
sys.exit('Invalid evaluation set')
... |
from rich import print
def banner():
with open('design/banner.txt') as file:
content = file.read()
print(f"[cyan]{content}[/]") |
# -*- coding:utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
from odoo import api, fields, models, _
class HrPayslip(models.Model):
_inherit = 'hr.payslip'
expense_sheet_ids = fields.One2many(
'hr.expense.sheet', 'payslip_id', string='Expenses',
help="Exp... |
# coding: utf-8
def sieve(n):
"""筛法得到n以内的素数"""
primes = [True] * (n + 1)
primes[0] = primes[1] = False
i = 2
while i * 2 <= n:
if primes[i]:
primes[i * 2:n + 1:i] = [False] * (int((n - i * 2) / i) + 1)
# 等同于如下句子，但是更快
# for j in range(i * 2, n + 1, i):
... |
from django.core.management.base import BaseCommand
from django.conf import settings
import os
# import pwd, grp
class Command(BaseCommand):
help = "backs up the current sqllite db on an s3 bucket"
def handle(self, *args, **options):
# get database
db_file = os.path.abspath(settings.DATABASES['... |
print("hi i am abhinav") |
"""
Download a file from iamresponding.com. Then, annotate the model with new data.
Finally, email the generated report.
"""
import json
import argparse
from apiclient.discovery import build
from httplib2 import Http
from cvac.fetch_data import download
from cvac.misc_io import get_newest_file, wait_for_file_to_finish
... |
# coding: utf-8
"""
LoRa App Server REST API
For more information about the usage of the LoRa App Server (REST) API, see [https://docs.loraserver.io/lora-app-server/api/](https://docs.loraserver.io/lora-app-server/api/). # noqa: E501
OpenAPI spec version: 1.0.0
Generated by: https://github.co... |
import logging
from django.conf import settings
from share import exceptions
from share.models import RegulatorLog
from share.util.extensions import Extensions
logger = logging.getLogger(__name__)
class RegulatorConfigError(exceptions.ShareException):
pass
class InfiniteRegulationError(exceptions.ShareExcep... |
import os
questions = ["Whether or not someone's action showed love for his or her country",
"Whether or not someone showed a lack of respect for authority",
"Whether or not someone violated standards of purity and decency",
"Whether or not someone was good at math",
"Whether or not someone cared for someone weak or v... |
import os
import errno
def file_picker():
file_path = raw_input("Please enter the file to check: ")
file_path = str(file_path)
print("Attempting to open file: "+file_path)
try:
file = open(file_path,"r") #open file for 'r' READing
except IOError as e:
if e.errno == errno.ENOENT:
return "unusable input"
r... |
#-*-coding: utf-8 -*-
print("반복문 디버그")
task=0
for i in range(1,101):
print("반복문 실행")
task += 1
print("%d번째 업무 실행"%task)
#반복문에서 변수값이 루프를 돌면서 잘못된 값으로 변경되는 것을 찾을시
#alt+f9으로 디버깅하면 루프 단위로 디버깅이 가능하다.
print("해당 업무 종료\n")
if task ==10:
task -= 1
print("반복문 종료") |
from pathfinder.algorithms import (
a_star_search,
breadth_first_search,
dijkstra_search,
reconstruct_path,
)
from pathfinder.grids import SquareGrid, WeightedGrid
from pathfinder.views import ascii_drawer
grid = SquareGrid(30, 15)
grid.walls = []
grid.walls.extend((x, y) for x in range(3, 5) for y in ... |
a,b=input().split()
c=int(a)^int(b)
d=c^int(b)
e=c^d
print(e,d)
|
with open('matrix.txt', 'r') as f:
matrix = [map(int, line.strip('\n').split(',')) for line in f]
dp = [[None for i in range(len(matrix[0]))] for j in range(len(matrix))]
for j in range(len(matrix[0])):
dp[0][j] = sum(matrix[0][:j+1])
for i in range(1, len(matrix)):
dp[i][0] = sum([matrix[k][0] for k in ... |
# -*- coding: utf-8 -*-
from rest_framework import serializers
from api.models import Employee
from rest_framework.validators import UniqueValidator
class EmployeeSerializer(serializers.ModelSerializer):
"""Serializer to map the Model instance into JSON format."""
name = serializers.CharField(min_length=3, m... |
"""
This file download the latest data for Myanmar
"""
import pandas as pd
from autumn.settings import INPUT_DATA_PATH
from pathlib import Path
INPUT_DATA_PATH = Path(INPUT_DATA_PATH)
COVID_MMR_TESTING_CSV = INPUT_DATA_PATH / "covid_mmr" / "cases.csv"
URL = "https://docs.google.com/spreadsheets/d/1VeUof9_-s0bsndo8t... |
# -*- coding:utf-8 -*-
import unittest
import mock
class UsingMockDatetimeTest(unittest.TestCase):
def _callFUT(self):
import mydatetime
return mydatetime.now()
def test(self):
with mock.patch("datetime.datetime") as M:
M.now.return_value = 10
self.assertEqual(... |
import math
import numpy as np
class OffloadSVM:
def __init__(self, model, scaler):
self.scaler = scaler
self.class0 = model.__dict__['classes_'][0]
self.class1 = model.__dict__['classes_'][1]
if model.__repr__().split('(')[0] == 'SVC' and model.__dict__['kernel'] != 'linear':
... |
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